Long Trade on FET

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Long Trade on FET 18 Apr 2025 at 10:20:38

Take profit at 0.5087 (0.87 %) and Stop Loss at 0.5013 (0.59 %)

Long Trade on FET

The 18 Apr 2025 at 10:20:38

With 2708.3231 FET at 0.5043$ per unit.

Position size of 1365.8073 $

Take profit at 0.5087 (0.87 %) and Stop Loss at 0.5013 (0.59 %)

That's a 1.47 RR Trade

Results

Status:

loss

Trade Type:

buy

ML Trade Score: -90

ML Pullback Score: 1.56

Prediction Score:

Prediction 1	Probability
Weak Trade	n/a

Prediction 2	Probability
	n/a

Prediction 3	Probability
	n/a

BTC Market Regime	Coin Market Regime

BTC Correlation	Score

Signal

CatchTheWave Signal - buy

Indicators:

long_trend: 1
short_kc: True
short_kc_percentage: 0.06
atr: 0.001969238238

Details

score: 2.06
1H
ema9 : 0.50795
ema21 : 0.501612
ema50 : 0.489337
price_ema9_diff : -0.00727685
ema9_ema21_diff : 0.0126341
ema21_ema50_diff : 0.0250852
all_emas_in_trend : True
all_emas_and_price_in_trend : False
rsi : 0.560557
kc_percentage : 0.567464
kc_width_percentage : 0.0614017
15m
ema9 : 0.508435
ema21 : 0.509494
ema50 : 0.50687
price_ema9_diff : -0.00811613
ema9_ema21_diff : -0.00207978
ema21_ema50_diff : 0.00517672
all_emas_in_trend : False
all_emas_and_price_in_trend : False
rsi : 0.396181
kc_percentage : 0.133008
kc_width_percentage : 0.0280567
5m
ema9 : 0.507013
ema21 : 0.508887
ema50 : 0.510033
price_ema9_diff : -0.0053314
ema9_ema21_diff : -0.00368278
ema21_ema50_diff : -0.00224736
all_emas_in_trend : True
all_emas_and_price_in_trend : True
rsi : 0.317579
kc_percentage : -0.0577718
kc_width_percentage : 0.0159679

Market Structure

Market Structure Score: 0

📌 Time Data

Start at	Closed at	Duration
18 Apr 2025 10:20:38	18 Apr 2025 11:05:00	44 minutes

📌 Entry & Exit

Entry	Stop Loss	Take Profit	RR	Current Price
0.5043	0.5013	0.5087	1.47	0.1479

Details

Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

Entry 0.5043
Stop Loss: 0.5013
Take Profit: 0.5087

Calcul:

Risque (distance jusqu'au stop loss) :

SL - E = 0.5013 - 0.5043 = -0.003
Récompense (distance jusqu'au take profit):

E - TP = 0.5043 - 0.5087 = -0.0044000000000001
Risk-Reward Ratio:

RRR = TP_DIST / SL_DIST = -0.0044000000000001 / -0.003 = 1.4667

📌 Position Size

Amount	Margin	Quantity	Leverage
1365.8073	100	2708.3231	13.66

Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

Account Size 100
Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

Risk Amount 8
Distance Stop Loss -0.003

Taille de position = 8 / -0.003 = -2666.67

Taille de position USD = -2666.67 x 0.5043 = -1344.8

Donc, tu peux acheter -2666.67 avec un stoploss a 0.5013

Avec un position size USD de -1344.8$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = -2666.67 x -0.003 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = -2666.67 x -0.0044000000000001 = 11.73

Si Take Profit atteint, tu gagneras 11.73$

Résumé

Taille de position -2666.67
Taille de position USD -1344.8
Perte potentielle 8
Gain potentiel 11.73
Risk-Reward Ratio 1.4667

📌 Peformances

TP % Target	TP $ Target
0.87 %	11.92 $

SL % Target	SL $ Target
0.59 %	8.12 $

PNL	PNL %
-8.12 $	-0.59

Max Drawdown	Max Drawdown / SL Ratio	Candles in Entry
-0.8130081300813 %	0 %	0

📌 ML Extra Data

Extra TP Data


                              Array
(
)

Extra SL data


                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.5087
            [entry_price] => 0.5043
            [stop_loss] => 0.501
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-04-18 11:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.5087
            [entry_price] => 0.5043
            [stop_loss] => 0.5007
            [rr_ratio] => 1.22
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-04-18 11:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.5087
            [entry_price] => 0.5043
            [stop_loss] => 0.5004
            [rr_ratio] => 1.13
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-04-18 11:05:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.5087
            [entry_price] => 0.5043
            [stop_loss] => 0.4998
            [rr_ratio] => 0.98
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-04-18 13:20:00
            [result] => win
        )

)

Extra Pullback data


                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.0023000000000001
            [max_drawdown] => 0.0042
            [rr_ratio] => 0.55
            [high] => 0.50660000
            [low] => 0.50010000
            [mfe_pct] => 0.46
            [mae_pct] => 0.83
            [mfe_mae_ratio] => 0.55
            [candles_analyzed] => 24
            [start_at] => 2025-04-18T10:20:38-04:00
            [end_at] => 2025-04-18T12:20:38-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0078
            [max_drawdown] => 0.0042
            [rr_ratio] => 1.86
            [high] => 0.51210000
            [low] => 0.50010000
            [mfe_pct] => 1.55
            [mae_pct] => 0.83
            [mfe_mae_ratio] => 1.86
            [candles_analyzed] => 72
            [start_at] => 2025-04-18T10:20:38-04:00
            [end_at] => 2025-04-18T16:20:38-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.51610000
            [high_after] => 0.51210000
            [low_before] => 0.50290000
            [low_after] => 0.50010000
            [is_new_high] => 
            [is_new_low] => 
        )

)